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BioMiner - Data analysis
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BioMiner Flyer (830 KB)
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Products
GeneSpotter
BioMiner
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BioMiner is a universal modular data-mining platform.
Its broad range of functions and revolutionary, simple-to-use
graphic user-interface provides even non-specialists with the
chance of successfully solving wide-ranging data-mining tasks.
Once data analysis pipelines have been established, they can be
stored and used again as often as needed or exchanged with other
BioMiner users.
Efficient data-base interfaces and the opportunity of client-server
operation make BioMiner the optimal tool for dealing with the flood
of information in molecular biology. Our multi-function data-mining
platform works with various scaling methods and data formats.
BioMiner is a modular system and can be enhanced.
Special Features:
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Easy-to-use graphic
interface offers
- Choice of primary
data sources
- Choice of modules
- Choice of filter parameters
- Configuration of a customised
processing pipeline
- Export of
results
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See larger picture ...
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Efficient treatment of large data records via
- Quick choice of primary
data sources
- Selection of specific
subsets via graphic interfaces
- Control of data flows
- Abstract data
management with XML-based data-exchange format and integrated data-base interface
- Threaded processing for
complex fractional calculations
- Completely automatic
update on results when parameter values are changed
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See larger picture ...
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Pattern matching with search
for
- Expression profiles
- Regular expressions
- Generalised profiles
Intuitive interfaces
for visualisation and interaction
- Graphs
- Histograms
- Scatterplots
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Comprehensive record of
modules for
- Scaling array data
- Scaling reference signals
- Calibration curves to determine intensity
- Correcting spatial variations
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Clustering
- K means
- Hierarchical methods
- Kohonen Networks
- Singular value
decomposition
- Support vector
machines
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Statistical
Analysis
- Test for significance
- t-Test
- Whitney-Mann-Wilcoxon-Test
- p-value adapted for multiple testing
- Single and multi-process and Westfall&Young; Korrektur
- ANOVA methods
- Quality parameter management (p-values)
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